• Performed data preprocessing and cleaning to ensure data quality and consistency. Jan 2022- Present • Conducted exploratory data analysis to identify patterns and trends in credit card transactions and loan data. • Developed SQL queries to extract relevant information from databases and optimize data retrieval. • Utilized Python libraries for data manipulation, analysis, and visualization. • Collaborated with cross-functional teams to validate findings and implement data-driven solutions. • Presented insights and recommendations to stakeholders to support decision-making. • Conducted SQL training sessions within the team for new joiners, subsequently leading to the initiation of a new project from the client. • Taking parts in agile sprint planning meetings to have a discussion over different user stories and making an effective plan for successful sprint planning.

• Developed and monitored KPIs related to user acquisition, retention, and engagement, providing actionable insights that contributed to the optimization of marketing campaigns and product features. • Performed Exploratory Data Analysis using Python and SQL on customer’s data helping the team to streamline marketing campaigns and increase sales by 20%.